A New Method for Predicting Wind Pressure Time Series on Low-Rise Building Roofs: Higher-Order Dynamic Mode Decomposition with Back Propagation Neural Network

dc.contributor.author	Liu, Taiting
dc.contributor.author	Dai, Yimin
dc.contributor.author	Li, Yixin
dc.contributor.author	Chen, Junchai
dc.contributor.author	Wang, Wei
dc.date.accessioned	2026-08-20T12:27:22Z
dc.date.available	2026-08-20T12:27:22Z
dc.date.copyright	2026/02/26
dc.date.issued	2026
dc.identifier.other	JSENDH.STENG-15378.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4313485
dc.description.abstract	AbstractThis study presents a novel model that combines higher-order dynamic mode decomposition (HODMD) with a backpropagation neural network (BPNN) for predicting wind pressure on building roofs, termed HODMD-BPNN. Additionally, this paper also optimized ...
dc.publisher	American Society of Civil Engineers
dc.title	A New Method for Predicting Wind Pressure Time Series on Low-Rise Building Roofs: Higher-Order Dynamic Mode Decomposition with Back Propagation Neural Network
dc.type	Journal Article
dc.journal.volume	152
dc.journal.issue	5
dc.journal.title	Journal of Structural Engineering
dc.identifier.doi	10.1061/JSENDH.STENG-15378
dc.journal.fristpage	04026045-1
dc.journal.lastpage	04026045-13
dc.page	13
dc.tree	Journal of Structural Engineering:;2026:;Volume ( 152 ):;issue: 005
dc.contenttype	Fulltext